RVee | R Documentation |
This function estimates: (1). the proportion of the explained variation (2). the explained variation by covariates in a linear model assuming the covariates are independent.
RVee(y, x, lam = 1, niter = 0, alpha = c(0.05))
y |
outcome: a vector of length n. |
x |
covariates: a matrix of nxp dimension. |
lam |
parameter for altering the weighting matrix. |
niter |
number of iterations for updating the lam parameter |
alpha |
a vector of type I error for create the confidence intervals. |
Both point estimate and confidence intervals are computed. Two set of confidence intervals under normal or non-normal error are computed.
Estimate of the proportion of explained variation, variance estimates, and confidence intervals, under normality and non-normality assumptions.
Estimate of the explained variation, variance estimates, and confidence intervals under normality and non-normality assumptions.
Chen, H.Y. (2022). Statistical inference on explained variation in high-dimensional linear model with dense effects. arXiv:2201.08723
Chen, H. Y., Li, H., Argos, M., Persky, V. W., and Turyk, M. (2022). Statistical Methods for Assessing Explained Variation of a Health Outcome by Mixture of Exposures. International Journal of Environmental Research and Public Health.
## Not run: RVee(y,x)
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